Mergers & Acquisitions
Confident decisions. Seamless transitions.
Whether you're acquiring, divesting, or integrating, we bring the technical due diligence, systems consolidation, and transition execution discipline that protects deal value and accelerates time to synergy.
Due diligence takes months. The technology assumptions get tested for years.
Billion-dollar acquisitions spend six to nine months in diligence — and most of that time, technology is treated as a checkbox instead of a deal variable. We surface the integration complexity, technical debt, and infrastructure risk that determine whether the investment thesis holds up or falls apart long after close.
Day 1 readiness isn’t a milestone. It’s a survival requirement.
Customers don’t care about your integration timeline. Regulators don’t care about your synergy targets. Day 1 means systems work, data flows, and operations continue without interruption. We plan and execute for that reality.
Clean separations protect deal value. Messy ones destroy it.
Carve-outs and divestitures fail when the technology separation is an afterthought. Shared infrastructure, entangled data, and TSA dependencies that never end — we build the standalone systems and execute the transition plans that let both sides move forward cleanly.
Our M&A expertise
A deal looks different when you understand what the technology actually costs to operate, maintain, and integrate. We conduct rigorous technical due diligence that goes beyond the data room: architecture reviews, infrastructure audits, security posture assessments, technical debt quantification, and integration complexity scoring. The output isn't a generic report — it's a risk-adjusted view of the technology that directly informs deal structure, valuation adjustments, and the first 100 days of integration planning. We've assessed targets across SaaS, financial services, healthcare, and industrial technology — and the pattern is always the same: the deals that perform are the ones where technology risk was understood before close, not discovered after.
Talk to usIntegration is where deal value is either captured or lost. We plan and execute the technology integration from Day 1 readiness through full platform unification: systems consolidation, data migration, identity and access management, network integration, and the operational cutover planning that keeps the business running while the technology transforms underneath it. The goal isn't just technical migration — it's accelerating time to synergy while protecting operational continuity. We've integrated everything from monolithic ERP estates to modern microservices architectures, and we build the integration management office discipline that keeps complex, multi-workstream programs on track.
Talk to usDivestitures and carve-outs create a unique technical challenge: untangling shared systems, data, and infrastructure under a ticking clock. We execute the full separation lifecycle — from TSA negotiation support and dependency mapping through standalone infrastructure buildout and operational cutover. Every shared service, every entangled database, every SSO integration that nobody documented — we find it, plan for it, and execute the separation. The result: a clean exit that protects both buyer and seller, a standalone technology estate that actually works on day one, and TSA timelines that shrink instead of expand.
Talk to usCase Studies
Our M&A Work
Fortune 1000 Industrial Conglomerate
Clean technology separation completed 3 months ahead of TSA deadline
A Fortune 1000 industrial conglomerate divested a $400M division. We led the technology carve-out — from due diligence support through TSA exit — delivering a fully independent technology environment three months ahead of the contractual deadline.
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PE Portfolio Company — Healthcare IT
Three-platform integration delivered $4.8M in annual technology synergies
A PE-backed healthcare IT company acquired two competitors within 12 months. We led the technology integration program that consolidated three separate platforms into a unified product, unlocking the synergies that justified the acquisition multiples.
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Insights
Our M&A Insights
Building a Technology Operating Model for Portfolio Companies
Platform Modernization During M&A: When to Transform and When to Wait
Technology Synergies in M&A: Separating Real Value from Deck Math
TSA Management: Extracting Clean from Carve-Out Complexity
Cybersecurity Risk in M&A: Assessing What You Are Really Buying
Post-Merger Integration: The First 100 Days of Technology
Data Integration in M&A: The Silent Deal Killer
Technology Due Diligence: What PE Firms Miss and Why It Matters
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FAQs
Common questions about how we work, what we build, and what it takes to move from experimenting with AI to operating with it.
It means going beyond buying AI tools. AI transformation is about redesigning how your organization works — restructuring workflows, redefining roles, deploying agents and custom models, and building the governance infrastructure to manage it all at enterprise scale.
Using ChatGPT or Copilot is a starting point, not a strategy. A transformation partner helps you move from ad hoc AI usage to systematic integration — purpose-built agents embedded in your workflows, custom models trained on your data, and governance frameworks that make it all enterprise-safe.
Agents handle specific tasks — analyzing data, routing requests, generating reports. Infrastructure is everything that keeps those agents reliable, compliant, and maintainable: monitoring, audit trails, access controls, model versioning, and the orchestration layer that ties them together.
Governance is built into every engagement from day one. We design audit trails, access controls, data handling policies, and compliance frameworks tailored to your industry — whether that’s SOX, HIPAA, SOC 2, or internal enterprise standards.
We work primarily with technology companies, large enterprises, and PE/VC-backed portfolio companies across finance, healthcare, telecommunications, manufacturing, and professional services. Our approach adapts to any regulated or complex enterprise environment.
It depends on scope. A focused agent deployment can take 4–8 weeks. A full workflow redesign with custom model development and governance infrastructure is typically a 3–6 month engagement. We scope every project during the Visualize phase before committing to timelines.
Both. For many use cases, fine-tuned versions of leading foundation models deliver excellent results. For enterprises with proprietary data and domain-specific requirements, we develop fully custom models. We recommend the right approach based on your data, use case, and cost considerations.
We integrate with your team, not replace them. Our engagements are designed to build internal capability — we work alongside your engineers, transfer knowledge throughout the process, and leave your team equipped to maintain and evolve the systems we build together.
Visualize: we map your current operations, identify AI opportunities, and design the target state. Realize: we build and deploy agents, models, and infrastructure. Optimize: we monitor performance, refine workflows, and scale what’s working. Each phase has clear deliverables and decision points.
Schedule a consultation. We’ll discuss where your organization stands today, where you want to go, and whether Mashbot is the right partner to get you there. No pitch decks — just a conversation about your business.
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